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Yankton County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Yankton CountySouth DakotaU.S.
Total Housing Units9,728, 100%369,186132,741,033
No Bedroom114, 1.17%, see rank1.49%2.17%
1 Bedroom1,183, 12.16%, see rank9.70%11.16%
2 Bedrooms2,981, 30.64%, see rank28.08%26.69%
3 Bedrooms3,108, 31.95%, see rank34.09%39.70%
4 Bedrooms1,707, 17.55%, see rank19.37%16.05%
5 or More Bedrooms635, 6.53%, see rank7.26%4.22%

ACS 2008-2012 data

 Yankton CountySouth DakotaU.S.
Total Housing Units9,652, 100%363,793131,642,457
No Bedroom135, 1.40%, see rank1.53%2.16%
1 Bedroom1,141, 11.82%, see rank9.62%11.12%
2 Bedrooms2,964, 30.71%, see rank28.30%26.85%
3 Bedrooms3,267, 33.85%, see rank34.60%39.76%
4 Bedrooms1,578, 16.35%, see rank19.00%15.95%
5 or More Bedrooms567, 5.87%, see rank6.96%4.16%

ACS 2006-2010 data

 Yankton CountySouth DakotaU.S.
Total Housing Units9,523, 100%357,725130,038,080
No Bedroom134, 1.41%, see rank1.25%1.84%
1 Bedroom1,143, 12.00%, see rank9.89%11.32%
2 Bedrooms2,911, 30.57%, see rank28.61%27.20%
3 Bedrooms3,300, 34.65%, see rank34.78%39.80%
4 Bedrooms1,479, 15.53%, see rank18.73%15.80%
5 or More Bedrooms556, 5.84%, see rank6.75%4.04%

ACS 2005-2009 data

 Yankton CountySouth DakotaU.S.
Total Housing Units9,466, 100%356,404127,699,712
No Bedroom123, 1.30%, see rank1.12%1.66%
1 Bedroom1,176, 12.42%, see rank9.98%11.48%
2 Bedrooms2,997, 31.66%, see rank28.77%27.48%
3 Bedrooms3,165, 33.44%, see rank35.41%39.79%
4 Bedrooms1,383, 14.61%, see rank18.18%15.64%
5 or More Bedrooms622, 6.57%, see rank6.53%3.94%

US Census 2000 data

 Yankton CountySouth DakotaU.S.
Total Housing Units8,840, 100%323,208115,904,641
No Bedroom66, 0.75%, see rank1.64%2.95%
1 Bedroom1,156, 13.08%, see rank11.76%13.38%
2 Bedrooms2,620, 29.64%, see rank29.29%28.39%
3 Bedrooms3,111, 35.19%, see rank36.08%38.37%
4 Bedrooms1,502, 16.99%, see rank16.47%13.81%
5 or More Bedrooms385, 4.36%, see rank4.75%3.09%

* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.


 
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